Top Tech Jobs & Startup Jobs in Boston, MA

Conduct and productize cutting-edge multilingual live caption and translation research. Build and integrate ML/DL models, partner cross-functionally, act as domain expert, and present research across the company to drive localization impact.

Lead portfolio-level planning for Netflix Games slate, prioritizing placements across launches and live service beats. Use data and experimentation to recommend allocation of promotional real estate, coordinate cross-functionally with product, merchandising, and finance, and establish frameworks to optimize discovery, installs, and long-term franchise health.

Design and build scalable, maintainable Android client infrastructure and product experiences using Kotlin and modern Android tooling. Define best practices, write automated tests, improve app architecture (MVVM, unidirectional state), collaborate with product and design, mentor engineers, and lead high-impact projects to improve performance, quality, and developer velocity across the Netflix Android app.

Build and operate Netflix's Membership & Monetization Platform at massive scale. Design product-facing features and platform infrastructure, solve distributed-systems correctness and performance challenges, partner cross-functionally, and own production reliability including on-call duties for Tier 0 services.

Design, build, deploy, and operate full-stack internal workforce solutions. Lead architecture, integrations, and responsive React frontends with secure REST/GraphQL backends, apply AI/GenAI responsibly, and collaborate across teams to improve productivity and reliability.

Lead integration of GenAI into game engines and production pipelines. Prototype AI-native gameplay with designers, optimize inference latency and memory to preserve framerate, build automation tools for asset and design workflows, mentor engineers, and translate research and open-source models into production-ready systems aligned with player experience.

Build and deliver consumer-facing TV application features and core client/UI capabilities. Design, architect, debug, test, and document performant, maintainable code; partner with designers, product, and cross-functional teams to componentize abstractions and improve developer experience and stability for large-scale systems.

Design, build, and own large-scale batch and streaming data pipelines and core Ads data products. Collaborate with analytics, data science, and engineering teams to model, transform, govern, and deliver high-quality ad datasets for analysis, ML, and reporting while ensuring privacy compliance.

Join Netflix Engineering Operations to own and optimize enterprise SaaS systems (Google Workspace, Slack, Zendesk), automate workflows, build API integrations, design scalable infrastructure, improve monitoring, and partner with product and business teams to reduce operational toil and enable self-service tools.

Build and operate scalable, highly available ML/LLM serving and compute infrastructure. Own long-term platform vision, deliver zero-to-one projects, partner cross-functionally, optimize performance and capacity, and support production ML models at scale.